"""
Simplified Multi-Modal Document Processing for Toxo - Testing Version

This module provides basic multi-modal processing without requiring
advanced dependencies like EasyOCR, LayoutParser, etc.
"""

import asyncio
import re
import json
from typing import Dict, List, Any, Optional, Tuple
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
import tempfile
import logging

# Basic dependencies only
import pytesseract
from PIL import Image
import pandas as pd
import openpyxl

# Toxo imports
from ..utils.logger import get_logger
from ..utils.exceptions import ProcessingError


@dataclass
class SimpleFormulaAnalysis:
    """Simple analysis of mathematical formulas."""
    formula_text: str
    variables: List[str]
    formula_type: str
    complexity_score: float


class SimpleFormulaProcessor:
    """Simple formula processor without SymPy dependency."""
    
    def __init__(self):
        self.logger = get_logger(f"{__name__}.FormulaProcessor")
    
    async def extract_and_analyze_formulas(self, text: str) -> List[SimpleFormulaAnalysis]:
        """Extract and analyze mathematical formulas from text."""
        formulas = []
        
        # Improved patterns for equations and formulas
        patterns = [
            r'([A-Za-z]+\s*[=]\s*[A-Za-z0-9²³⁴⁵⁶⁷⁸⁹⁰\+\-\*/\^\s]+)',  # E = mc²
            r'([A-Za-z]\s*[=]\s*[A-Za-z]+)',  # F = ma
            r'([A-Za-z]\s*[+\-]\s*[A-Za-z]\s*[=]\s*[0-9]+)',  # x + y = 10
            r'([A-Za-z]\s*[=]\s*[A-Za-z][A-Za-z]\s*[+\-]\s*[A-Za-z])'  # y = mx + b
        ]
        
        # Find equation-like patterns
        for pattern in patterns:
            matches = re.finditer(pattern, text)
            for match in matches:
                formula_text = match.group(1)
                if formula_text and len(formula_text) < 200:  # Reasonable length
                    analysis = await self._analyze_formula(formula_text)
                    if analysis:
                        formulas.append(analysis)
        
        return formulas
    
    async def _analyze_formula(self, formula_text: str) -> Optional[SimpleFormulaAnalysis]:
        """Analyze a single formula."""
        try:
            cleaned_formula = formula_text.strip()
            
            # Basic variable extraction
            variables = list(set(re.findall(r'\b[a-zA-Z]\b', cleaned_formula)))
            
            # Determine formula type
            formula_type = self._classify_formula(cleaned_formula)
            
            # Calculate complexity score
            complexity = self._calculate_complexity(cleaned_formula)
            
            return SimpleFormulaAnalysis(
                formula_text=cleaned_formula,
                variables=variables,
                formula_type=formula_type,
                complexity_score=complexity
            )
            
        except Exception as e:
            self.logger.debug(f"Formula analysis failed: {str(e)}")
            return None
    
    def _classify_formula(self, formula: str) -> str:
        """Classify the type of formula."""
        if '=' in formula:
            return 'equation'
        elif any(op in formula for op in ['<', '>', '≤', '≥', '≠']):
            return 'inequality'
        elif any(op in formula for op in ['+', '-', '*', '/', '^']):
            return 'expression'
        else:
            return 'unknown'
    
    def _calculate_complexity(self, formula: str) -> float:
        """Calculate complexity score for formula."""
        complexity = 0.0
        
        # Base complexity
        complexity += len(formula) * 0.01
        
        # Operators
        operators = ['+', '-', '*', '/', '^', '=', '<', '>']
        complexity += sum(formula.count(op) for op in operators) * 0.1
        
        # Parentheses (nesting)
        complexity += formula.count('(') * 0.15
        
        return min(1.0, complexity)


class SimpleMultiModalProcessor:
    """
    Simplified multi-modal document processor for testing.
    """
    
    def __init__(self, gemini_client=None, config=None):
        self.logger = get_logger(__name__)
        self.gemini_client = gemini_client
        
        # Initialize processors
        self.formula_processor = SimpleFormulaProcessor()
        
        # Processing capabilities
        self.supported_formats = {
            '.txt': self._process_text,
            '.pdf': self._process_text,  # Simplified
            '.docx': self._process_text,  # Simplified
            '.xlsx': self._process_xlsx,
            '.xls': self._process_xlsx,
            '.png': self._process_image,
            '.jpg': self._process_image,
            '.jpeg': self._process_image
        }
        
        self.logger.info("Simple Multi-Modal Processor initialized")
    
    async def process_document_enhanced(
        self,
        file_path: Path,
        processing_options: Optional[Dict[str, Any]] = None
    ) -> Dict[str, Any]:
        """
        Process document with basic multi-modal capabilities.
        """
        try:
            file_path = Path(file_path)
            if not file_path.exists():
                raise ProcessingError(f"File not found: {file_path}")
            
            self.logger.info(f"Processing document: {file_path}")
            
            # Determine processor
            suffix = file_path.suffix.lower()
            if suffix not in self.supported_formats:
                # Default to text processing
                processor = self._process_text
            else:
                processor = self.supported_formats[suffix]
            
            # Process document
            processing_result = await processor(file_path, processing_options or {})
            
            return processing_result
            
        except Exception as e:
            self.logger.error(f"Error in processing: {str(e)}")
            raise ProcessingError(f"Processing failed: {str(e)}")
    
    async def _process_text(self, file_path: Path, options: Dict[str, Any]) -> Dict[str, Any]:
        """Process text files."""
        try:
            with open(file_path, 'r', encoding='utf-8') as f:
                text_content = f.read()
        except UnicodeDecodeError:
            # Try with different encoding
            with open(file_path, 'r', encoding='latin-1') as f:
                text_content = f.read()
        
        # Extract formulas
        formulas = await self.formula_processor.extract_and_analyze_formulas(text_content)
        
        return {
            'document_type': 'text',
            'text_content': text_content,
            'formulas': formulas,
            'metadata': {'file_format': file_path.suffix}
        }
    
    async def _process_image(self, file_path: Path, options: Dict[str, Any]) -> Dict[str, Any]:
        """Process image files with basic OCR."""
        try:
            image = Image.open(file_path)
            
            # Basic OCR with Tesseract
            text_content = pytesseract.image_to_string(image)
            
            # Extract formulas
            formulas = await self.formula_processor.extract_and_analyze_formulas(text_content)
            
            return {
                'document_type': 'image',
                'text_content': text_content,
                'formulas': formulas,
                'image_size': image.size,
                'metadata': {'format': image.format, 'mode': image.mode}
            }
            
        except Exception as e:
            self.logger.error(f"Error processing image: {str(e)}")
            return {
                'document_type': 'image',
                'text_content': '',
                'formulas': [],
                'error': str(e)
            }
    
    async def _process_xlsx(self, file_path: Path, options: Dict[str, Any]) -> Dict[str, Any]:
        """Process Excel files."""
        try:
            # Read Excel file
            df = pd.read_excel(file_path)
            
            # Convert to text for formula extraction
            text_content = df.to_string()
            
            # Extract formulas
            formulas = await self.formula_processor.extract_and_analyze_formulas(text_content)
            
            return {
                'document_type': 'spreadsheet',
                'text_content': text_content,
                'formulas': formulas,
                'sheet_info': {
                    'rows': len(df),
                    'columns': len(df.columns),
                    'column_names': df.columns.tolist()
                },
                'metadata': {'file_format': 'xlsx'}
            }
            
        except Exception as e:
            self.logger.error(f"Error processing Excel file: {str(e)}")
            return {
                'document_type': 'spreadsheet',
                'text_content': '',
                'formulas': [],
                'error': str(e)
            }


# Factory function
def create_simple_multimodal_processor(gemini_client=None, config=None):
    """Create and return a Simple Multi-Modal Processor instance."""
    return SimpleMultiModalProcessor(gemini_client, config) 